International Journal of Computer Applications Technology and Research Volume 9–Issue 06, 194-199, 2020, ISSN:-2319–8656 www.ijcat.com 194 Use of Hybrid Data Mining in Identification of Crime Patterns and Trends in the Matatu Industry in Kenya Duncan Nyale Faculty of Information Science and Technology Kisii University Kisii, Kenya Samuel Liyala Faculty of Information Science and Technology Kisii University Kisii, Kenya James Ogalo Faculty of Information Science and Technology Kisii University Kisii, Kenya Michael Kangethe School of Computing and Informatics Gretsa Univesity Thika, Kenya Abstract: The aim of this study was to propose an automatable technological framework that identifies crime and misconduct patterns and trends in the matatu industry using data mining techniques for intelligence led policing in Kenya. The objectives of the study include to propose a framework for intelligent transport management system with patterns and trends identification capabilities, enhance formulation of policy developments, implementations and government regulations for the transport sector in Kenya, design model system for testing the framework to ascertain its practicability and effectiveness and identify challenges of the transport sector in Kenya. This was an application research which made use of dummy data. The study established that it is possible to use artificial intelligence to manage the transport sector by use of a system that will not only help identify the patterns and trends of matatus’ on Kenyan roads but to answer the why’s associated with the trends to help come up with meaningful applicable practical solutions to enhance security and integrity in the transport sector in general. The study also unearthed challenges in relation to the implementation of the above. Combination of classification and association rules based data mining approach was utilized for this study due to its effectiveness in bringing out patterns and trends that are interlinked and related to each other. Keywords: WHO: - World Health Organization, OB: - Occurrence Book, GUI: - Graphical User Interface, SQL: - Structured Query Language, CCTV: - Closed-Circuit Television, CBD: - Central Business District 1. INTRODUCTION The matatu industry in Kenya has been a regulation nightmare for all the stakeholders despite all the government regulations that have been put in place. This has been a long standing problem as current solutions and efforts to curb this menace have not yet provided effective and long lasting results to tackle this issue. Different criterions have exhibited different problems thus annulling the “one shoe fits all” existing solutions that have currently been proposed and implemented. Problems exhibited in the matatu industry range from the irritant to the diabolical. The issues range from overlapping, over speeding, careless driving, indiscipline, misconduct, theft robberies, accidents, corruption and even worse. This has made it difficult for the authorities to effectively regulate, monitor and maintain this industry as it has been influenced by several factors which include geographic locations, Sacco’s, population, income levels (financial class), proximity to the city and matatu physical attributes. 2. BACKGROUND The public transport industry is one of the most vital development industries in any country. It is the backbone of transportation where those who do not have private transportation can easily access public service vehicles for a fair price. Governments usually ensure that its population has adequate transport fertilities for its masses. In Kenya this industry is usually dominated by the private matatu industry as majority of the people in both urban and rural areas use this network of transport thus proper policies and regulations should be introduced that protect both the consumer and the operators at equal measure. (Nantulya and Muli, 2009). Crime and criminality in the matatu industry has been a constant thorn in the flesh for both the citizens and government. This has been a constant undesirable feature of the matatu industry and the situation convoluted due to the blatant and constant corrupt activities involving the police and by a large margin bribes given to the police (WHO, 2012). This makes it difficult for the government to arrest offenders and control crime as the complexities involved in both prevention and detection measures are hampered by complicity by the police in the crime activities. Misconduct and crime reporting can be done using several different channels such as Calling the police and reporting of incidents that occur. The reported incidents are usually recorded in the police occurrence book also known as the OB. Physical reporting directly at the police station where an individual or group physically makes the complaint directly to the police at the station or reporting to the traffic officers on duty. This form has proven less effective in having the offenders apprehended (Ogendi et al, 2013). 2.1 Surveillance Surveillance is the monitoring of the behavior, activities, or other changing information, usually of people for the purpose of influencing, managing, directing, or protecting. It most usually refers to observation of individuals or groups by government organizations; in this case, surveillance is monitoring and recording data about traffic offenses in various forms. This includes:  Incidences reports  Location route information  Physical attributes of matatu’s  Sacco  Matatu personnel information